Organised by Dr Antonio Rago (University of Plymouth). Run by the Centre for Mathematical Sciences at the University of Plymouth, and supported by The Environmental Futures of Big Data Impact Lab.
Calling all researchers and businesses working with big data
- Find out more about big data techniques and the algorithmic approach
- Engage with disruptive methodologies in your research or practitioner work
- Run these methodologies on the University’s High Performance Computer facilities
- Take smarter decisions and optimise your processes to gain a competitive advantage
These five advanced level afternoon
workshops take place over a week to give you a sound understanding of various
topics related to the big data analysis techniques. It is mandatory that you are able to attend all
workshops on the following dates: Monday 8 April to Friday 12 April inclusive.
- Computer familiarity (ideally Python, R, RStudio)
- Basic algebra
- Multi-variant Gaussian process distribution
- Appreciation of combinatorial/optimisation problems
Cost of course
This course is subsidised by The Environment Futures and Big Data Impact Lab for University of Plymouth staff and students, those working with the Impact Lab and Devon-based small to medium-sized enterprises.
The cost for those who aren’t eligible for the subsidised course is £300 +VAT. If you aren't eligible for the subsidised course and wish to participate, please contact the course leader, Dr Antonio Rago on firstname.lastname@example.org.
- Introduction to big data (Session lead: Dr Antonio Rago)
- Gaussian process (Session lead: Dr Mu Niu)
- Machine learning (Session leads: Dr Matthew Craven and Dr Malgorzata Wojtys
- Neural network (Session lead: Dr Craig McNeile)
Who can attend?
This CPD course is an advanced level course and it aimed at those who already have knowledge of big data. Those in research and industry are welcome to join the course.
postgraduate students will gain a clear understanding of these new techniques
and discuss with the experts on potential application in their fields of
research, taking advantage of the tools as enabler for new research.
Those from industry will benefit from understanding this new data driven revolution to aid with making data a competitive advantage, allow for smarter decision making, and process optimisation.
More detailed information about the course content and travel details can be found on the Eventbrite booking page.